Abstract:

Tobacco disease is the important factor which restricts tobacco mass and quality, so exactly recognizing and preventing from the tobacco disease are the problem urgently solving. Image enhancement is digital image’s pretreatment, it can effectively improve the image’s entirely or part characters. This study took the usual infectivity disease of tobacco as research object, with the language of MATLAB. Using the gray-scale transformation, median filter and the combination of the two methods to processed the tobacco wildfire disease gray images. The simulation result indicated that the two kinds of technologic union can make the image detail characteristic especially obvious and the smoothness of the image especially clear, the effect of image enhancement was better than any using of the two technologies.